Task
Supervised Classification on hutsof99_logis

Supervised Classification on hutsof99_logis

Task 3669 Supervised Classification hutsof99_logis 538 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, build_cpu_time: 0.0092, build_memory: 3191699012.8, f_measure: 0.6991, kappa: 0.398, kb_relative_information_score: 19.0463, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7007, predictive_accuracy: 0.7, prior_entropy: 0.9994, recall: 0.7, relative_absolute_error: 0.7512, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9245, scimark_benchmark: 944.0193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, build_cpu_time: 0.0147, build_memory: 4790103028, f_measure: 0.6852, kappa: 0.3699, kb_relative_information_score: 19.2363, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6858, predictive_accuracy: 0.6857, prior_entropy: 0.9994, recall: 0.6857, relative_absolute_error: 0.7482, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9149, scimark_benchmark: 943.4276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, build_cpu_time: 0.0308, build_memory: 458748997.6, f_measure: 0.6857, kappa: 0.3709, kb_relative_information_score: 19.7072, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6857, predictive_accuracy: 0.6857, prior_entropy: 0.9994, recall: 0.6857, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9141, scimark_benchmark: 949.1979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, build_cpu_time: 0.0378, build_memory: 1053323936.8, f_measure: 0.6712, kappa: 0.3418, kb_relative_information_score: 19.8307, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6713, predictive_accuracy: 0.6714, prior_entropy: 0.9994, recall: 0.6714, relative_absolute_error: 0.7416, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9106, scimark_benchmark: 943.3684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, build_cpu_time: 0.1778, build_memory: 2342588858.4, f_measure: 0.6852, kappa: 0.373, kb_relative_information_score: 19.0444, mean_absolute_error: 0.3784, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6892, predictive_accuracy: 0.6857, prior_entropy: 0.9994, recall: 0.6857, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9016, scimark_benchmark: 942.6011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.7284, kappa: 0.458, kb_relative_information_score: 31.9554, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7309, predictive_accuracy: 0.7286, prior_entropy: 0.9994, recall: 0.7286, relative_absolute_error: 0.5433, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.521, root_relative_squared_error: 1.0424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.7284, kappa: 0.458, kb_relative_information_score: 31.9554, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7309, predictive_accuracy: 0.7286, prior_entropy: 0.9994, recall: 0.7286, relative_absolute_error: 0.5433, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.521, root_relative_squared_error: 1.0424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7447, build_cpu_time: 0.078, build_memory: 2676547109.6, f_measure: 0.6998, kappa: 0.401, kb_relative_information_score: 18.5105, mean_absolute_error: 0.3813, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7022, predictive_accuracy: 0.7, prior_entropy: 0.9994, recall: 0.7, relative_absolute_error: 0.7633, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9065, scimark_benchmark: 941.8933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6516, build_cpu_time: 0.0154, build_memory: 101612974.4, f_measure: 0.6144, kappa: 0.2286, kb_relative_information_score: 15.1536, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6147, predictive_accuracy: 0.6143, prior_entropy: 0.9994, recall: 0.6143, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6114, root_relative_squared_error: 1.2232, scimark_benchmark: 943.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6516, build_cpu_time: 0.0135, build_memory: 565876768, f_measure: 0.6144, kappa: 0.2286, kb_relative_information_score: 15.1536, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6147, predictive_accuracy: 0.6143, prior_entropy: 0.9994, recall: 0.6143, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6114, root_relative_squared_error: 1.2232, scimark_benchmark: 942.0655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6516, build_cpu_time: 0.0126, build_memory: 234473233.6, f_measure: 0.6144, kappa: 0.2286, kb_relative_information_score: 15.1536, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6147, predictive_accuracy: 0.6143, prior_entropy: 0.9994, recall: 0.6143, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6114, root_relative_squared_error: 1.2232, scimark_benchmark: 941.8931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6516, build_cpu_time: 0.0126, build_memory: 70004576, f_measure: 0.6144, kappa: 0.2286, kb_relative_information_score: 15.1536, mean_absolute_error: 0.3914, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6147, predictive_accuracy: 0.6143, prior_entropy: 0.9994, recall: 0.6143, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6114, root_relative_squared_error: 1.2232, scimark_benchmark: 944.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6524, build_cpu_time: 0.0284, build_memory: 65690008.8, f_measure: 0.6141, kappa: 0.2298, kb_relative_information_score: 16.0824, mean_absolute_error: 0.3843, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6161, predictive_accuracy: 0.6143, prior_entropy: 0.9994, recall: 0.6143, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6173, root_relative_squared_error: 1.2351, scimark_benchmark: 941.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6524, build_cpu_time: 0.037, build_memory: 38496682.4, f_measure: 0.6141, kappa: 0.2298, kb_relative_information_score: 16.0824, mean_absolute_error: 0.3843, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6161, predictive_accuracy: 0.6143, prior_entropy: 0.9994, recall: 0.6143, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6173, root_relative_squared_error: 1.2351, scimark_benchmark: 945.2151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, build_cpu_time: 0.0508, build_memory: 890730043.2, f_measure: 0.6286, kappa: 0.2565, kb_relative_information_score: 17.9372, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6286, predictive_accuracy: 0.6286, prior_entropy: 0.9994, recall: 0.6286, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6094, root_relative_squared_error: 1.2193, scimark_benchmark: 941.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, build_cpu_time: 0.047, build_memory: 144900620, f_measure: 0.6286, kappa: 0.2565, kb_relative_information_score: 17.9372, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6286, predictive_accuracy: 0.6286, prior_entropy: 0.9994, recall: 0.6286, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6094, root_relative_squared_error: 1.2193, scimark_benchmark: 941.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.623, build_cpu_time: 0.1318, build_memory: 750248019.2, f_measure: 0.6144, kappa: 0.2286, kb_relative_information_score: 16.4162, mean_absolute_error: 0.3817, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6147, predictive_accuracy: 0.6143, prior_entropy: 0.9994, recall: 0.6143, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6155, root_relative_squared_error: 1.2314, scimark_benchmark: 945.8914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6283, build_cpu_time: 0.2172, build_memory: 273587854.4, f_measure: 0.6286, kappa: 0.2565, kb_relative_information_score: 17.9398, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6286, predictive_accuracy: 0.6286, prior_entropy: 0.9994, recall: 0.6286, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.6094, root_relative_squared_error: 1.2194, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, build_cpu_time: 3.3581, build_memory: 78392201.6, f_measure: 0.6998, kappa: 0.399, kb_relative_information_score: 21.3091, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6999, predictive_accuracy: 0.7, prior_entropy: 0.9994, recall: 0.7, relative_absolute_error: 0.7194, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.8936, scimark_benchmark: 946.2126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, build_cpu_time: 1.712, build_memory: 1948261388.8, f_measure: 0.6715, kappa: 0.3429, kb_relative_information_score: 21.1892, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6718, predictive_accuracy: 0.6714, prior_entropy: 0.9994, recall: 0.6714, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.8929, scimark_benchmark: 942.9632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, build_cpu_time: 0.7317, build_memory: 1887528062.4, f_measure: 0.6857, kappa: 0.3709, kb_relative_information_score: 20.3215, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6857, predictive_accuracy: 0.6857, prior_entropy: 0.9994, recall: 0.6857, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.8973, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, build_cpu_time: 0.7218, build_memory: 118237682.4, f_measure: 0.6715, kappa: 0.3429, kb_relative_information_score: 19.7668, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6718, predictive_accuracy: 0.6714, prior_entropy: 0.9994, recall: 0.6714, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9037, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, build_cpu_time: 0.211, build_memory: 1003678977.6, f_measure: 0.6852, kappa: 0.3699, kb_relative_information_score: 20.6057, mean_absolute_error: 0.363, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6858, predictive_accuracy: 0.6857, prior_entropy: 0.9994, recall: 0.6857, relative_absolute_error: 0.7265, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9025, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, build_cpu_time: 0.0047, build_memory: 863599556.8, f_measure: 0.7284, kappa: 0.4563, kb_relative_information_score: 18.8383, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7285, predictive_accuracy: 0.7286, prior_entropy: 0.9994, recall: 0.7286, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.8674, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, build_cpu_time: 0.002, build_memory: 589276452, f_measure: 0.7424, kappa: 0.487, kb_relative_information_score: 19.1854, mean_absolute_error: 0.3785, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7469, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8684, scimark_benchmark: 824.2652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, build_cpu_time: 0.1085, build_memory: 2344627300.8, f_measure: 0.6842, kappa: 0.3689, kb_relative_information_score: 26.0602, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6871, predictive_accuracy: 0.6857, prior_entropy: 0.9994, recall: 0.6857, relative_absolute_error: 0.6302, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.0281, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, build_cpu_time: 0.005, build_memory: 376935003.2, f_measure: 0.6852, kappa: 0.373, kb_relative_information_score: 18.0859, mean_absolute_error: 0.3845, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6892, predictive_accuracy: 0.6857, prior_entropy: 0.9994, recall: 0.6857, relative_absolute_error: 0.7696, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.8822, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, build_cpu_time: 0.0805, build_memory: 52314976, f_measure: 0.6842, kappa: 0.3689, kb_relative_information_score: 24.7128, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6871, predictive_accuracy: 0.6857, prior_entropy: 0.9994, recall: 0.6857, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9801, scimark_benchmark: 943.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, build_cpu_time: 0.0164, build_memory: 1154990989.6, f_measure: 0.7129, kappa: 0.4309, kb_relative_information_score: 18.4164, mean_absolute_error: 0.3813, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7221, predictive_accuracy: 0.7143, prior_entropy: 0.9994, recall: 0.7143, relative_absolute_error: 0.7632, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.878, scimark_benchmark: 942.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, build_cpu_time: 0.0264, build_memory: 1541727663.2, f_measure: 0.7277, kappa: 0.4589, kb_relative_information_score: 18.4752, mean_absolute_error: 0.3818, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7344, predictive_accuracy: 0.7286, prior_entropy: 0.9994, recall: 0.7286, relative_absolute_error: 0.7643, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.8792, scimark_benchmark: 939.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7688, build_cpu_time: 15.1386, build_memory: 156261729.6, f_measure: 0.7138, kappa: 0.4272, kb_relative_information_score: 22.4662, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7145, predictive_accuracy: 0.7143, prior_entropy: 0.9994, recall: 0.7143, relative_absolute_error: 0.6937, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9162, scimark_benchmark: 943.1529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, build_cpu_time: 7.412, build_memory: 982531713.6, f_measure: 0.7143, kappa: 0.4281, kb_relative_information_score: 22.1963, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7143, predictive_accuracy: 0.7143, prior_entropy: 0.9994, recall: 0.7143, relative_absolute_error: 0.6988, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9171, scimark_benchmark: 941.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, build_cpu_time: 0.0164, build_memory: 1139044627.2, f_measure: 0.7429, kappa: 0.4853, kb_relative_information_score: 30.443, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7429, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8665, scimark_benchmark: 905.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8162, build_cpu_time: 0.0118, build_memory: 501161613.6, f_measure: 0.7429, kappa: 0.4853, kb_relative_information_score: 30.443, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7429, predictive_accuracy: 0.7429, prior_entropy: 0.9994, recall: 0.7429, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8665, scimark_benchmark: 947.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, build_cpu_time: 0.0168, build_memory: 408236448, f_measure: 0.6712, kappa: 0.3418, kb_relative_information_score: 16.2433, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6713, predictive_accuracy: 0.6714, prior_entropy: 0.9994, recall: 0.6714, relative_absolute_error: 0.7886, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4721, root_relative_squared_error: 0.9446, scimark_benchmark: 939.4327,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, build_cpu_time: 0.0313, build_memory: 268315412, f_measure: 0.6852, kappa: 0.3699, kb_relative_information_score: 17.6918, mean_absolute_error: 0.3851, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6858, predictive_accuracy: 0.6857, prior_entropy: 0.9994, recall: 0.6857, relative_absolute_error: 0.7707, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9254, scimark_benchmark: 938.3567,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, build_cpu_time: 0.055, build_memory: 1181488485.6, f_measure: 0.7001, kappa: 0.4, kb_relative_information_score: 26.8332, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7004, predictive_accuracy: 0.7, prior_entropy: 0.9994, recall: 0.7, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.528, root_relative_squared_error: 1.0565, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, build_cpu_time: 0.0698, build_memory: 700935601.6, f_measure: 0.6998, kappa: 0.401, kb_relative_information_score: 27.883, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.7022, predictive_accuracy: 0.7, prior_entropy: 0.9994, recall: 0.7, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5269, root_relative_squared_error: 1.0543, scimark_benchmark: 940.9619,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.656, build_cpu_time: 0.0041, build_memory: 232291711.2, f_measure: 0.6566, kappa: 0.3126, kb_relative_information_score: 21.4519, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6571, predictive_accuracy: 0.6571, prior_entropy: 0.9994, recall: 0.6571, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5767, root_relative_squared_error: 1.1538, scimark_benchmark: 906.6607,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.656, build_cpu_time: 0.0105, build_memory: 594929871.2, f_measure: 0.6566, kappa: 0.3126, kb_relative_information_score: 21.4519, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4996, number_of_instances: 70, precision: 0.6571, predictive_accuracy: 0.6571, prior_entropy: 0.9994, recall: 0.6571, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.4998, root_mean_squared_error: 0.5767, root_relative_squared_error: 1.1538, scimark_benchmark: 908.8705,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs